YCbCr pulsed illumination scheme in a light deficient environment

The disclosure extends to methods, systems, and computer program products for producing an image in light deficient environments with luminance and chrominance emitted from a controlled light source.

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Description
CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a division of U.S. application Ser. No. 13/952,570, filed on Jul. 26, 2013 (now U.S. Pat. No. 9,516,239, issued Dec. 6, 2016) and claims the benefit of U.S. Provisional Patent Application No. 61/676,289, filed on Jul. 26, 2012, and U.S. Provisional Patent Application No. 61/790,487, filed on Mar. 15, 2013, and U.S. Provisional Patent Application No. 61/790,719, filed on Mar. 15, 2013 and U.S. Provisional Patent Application No. 61/791,473, filed on Mar. 15, 2013, which are hereby incorporated by reference herein in their entireties, including but not limited to those portions that specifically appear hereinafter, the incorporation by reference being made with the following exception: In the event that any portion of the above-referenced applications is inconsistent with this application, this application supersedes said above-referenced applications.

BACKGROUND

Advances in technology have provided advances in imaging capabilities for medical use. One area that has enjoyed some of the most beneficial advances is that of endoscopic surgical procedures because of the advances in the components that make up an endoscope.

The disclosure relates generally to electromagnetic sensing and sensors in relation to creating a video stream having chrominance and luminance pulses from a controlled light source. The features and advantages of the disclosure will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by the practice of the disclosure without undue experimentation. The features and advantages of the disclosure may be realized and obtained by means of the instruments and combinations particularly pointed out herein.

BRIEF DESCRIPTION OF THE DRAWINGS

Non-limiting and non-exhaustive implementations of the disclosure are described with reference to the following figures, wherein like reference numerals refer to like parts throughout the various views unless otherwise specified. Advantages of the disclosure will become better understood with regard to the following description and accompanying drawings.

FIG. 1 illustrates a graphical representation of the operation of a pixel array in accordance with the principles and teachings of the disclosure;

FIG. 2 illustrates a graphical representation of a pixel array for a plurality of frames in accordance with the principles and teachings of the disclosure;

FIG. 3A illustrates a schematic of an embodiment of an operation sequence of chrominance and luminance frames in accordance with the principles and teachings of the disclosure;

FIG. 3B illustrates a schematic of an embodiment of an operation sequence of chrominance and luminance frames in accordance with the principles and teachings of the disclosure;

FIG. 3C illustrates a schematic of an embodiment of an operation sequence of chrominance and luminance frames in accordance with the principles and teachings of the disclosure;

FIG. 4 illustrates an embodiment of sensor and emitter modulation in accordance with the principles and teachings of the disclosure;

FIG. 5 illustrates an embodiment of sensor and emitter patterns in accordance with the principles and teachings of the disclosure;

FIG. 6A illustrates an embodiment of sensor and emitter patterns in accordance with the principles and teachings of the disclosure;

FIG. 6B illustrates an embodiment of sensor and emitter patterns in accordance with the principles and teachings of the disclosure;

FIG. 7 illustrates a graphical representation of the operation of a pixel array having pixels of differing pixel sensitivities in accordance with the principles and teachings of the disclosure;

FIG. 8 illustrates a graphical representation of the operation of a pixel array having pixels of differing pixel sensitivities in accordance with the principles and teachings of the disclosure;

FIG. 9 illustrates a flow chart of the operation of a pixel array in accordance with the principles and teachings of the disclosure;

FIG. 10 illustrates a flow chart of the operation of a pixel array in accordance with the principles and teachings of the disclosure;

FIG. 11 illustrates a flow chart of the operation of a pixel array in accordance with the principles and teachings of the disclosure;

FIG. 12A illustrates a graphical representation of the operation of a pixel array in accordance with the principles and teachings of the disclosure;

FIG. 12B illustrates a graphical representation of the operation of a pixel array in accordance with the principles and teachings of the disclosure;

FIG. 13 illustrates an embodiment of supporting hardware in accordance with the principles and teachings of the disclosure;

FIGS. 14A and 14B illustrate an implementation having a plurality of pixel arrays for producing a three dimensional image in accordance with the teachings and principles of the disclosure;

FIGS. 15A and 15B illustrate a perspective view and a side view, respectively, of an implementation of an imaging sensor built on a plurality of substrates, wherein a plurality of pixel columns forming the pixel array are located on the first substrate and a plurality of circuit columns are located on a second substrate and showing an electrical connection and communication between one column of pixels to its associated or corresponding column of circuitry; and

FIGS. 16A and 16B illustrate a perspective view and a side view, respectively, of an implementation of an imaging sensor having a plurality of pixel arrays for producing a three dimensional image, wherein the plurality of pixel arrays and the image sensor are built on a plurality of substrates.

DETAILED DESCRIPTION

The disclosure extends to methods, systems, and computer based products for digital imaging that may be primarily suited to medical applications. In the following description of the disclosure, reference is made to the accompanying drawings, which form a part hereof, and in which is shown by way of illustration specific implementations in which the disclosure may be practiced. It is understood that other implementations may be utilized and structural changes may be made without departing from the scope of the disclosure.

Luminance-chrominance based color spaces date back to the advent of color television, when color image transmission was required to be compatible with older monochrome CRTs. The luminance component corresponds to the (color-agnostic) brightness aspect of the image data. The color information is carried in the remaining two channels. The separation of image data into the luminance and chrominance components is still an important process in modern digital imaging systems, since it is closely related to the human visual system.

The human retina contains arrays of two basic photoreceptor cell types; rods and cones. The rods provide the brightness information and have about a factor-20 greater overall spatial density than the cones. The cones are much less sensitive and there are three basic types, having peak responses at three different wavelengths. The spectral response of the rods, which peaks in the green region, is the basis for computing luminance color-space conversion coefficients. Since rods have the greater density, the spatial resolution of an image representation is much more important for the luminance component than for either chrominance component. Camera designers and image processing engineers seek to account for this fact in several ways, e.g., by spatially filtering the chrominance channels to reduce noise and by affording greater relative system bandwidth to luminance data.

In describing the subject matter of the disclosure, the following terminology will be used in accordance with the definitions set out below.

It must be noted that, as used in this specification, the singular forms “a,” “an,” and “the” include plural referents unless the context clearly dictates otherwise.

As used herein, the terms “comprising,” “including,” “containing,” “characterized by,” and grammatical equivalents thereof are inclusive or open-ended terms that do not exclude additional, unrecited elements or method steps.

As used herein, the phrase “consisting of” and grammatical equivalents thereof exclude any element or step not specified.

As used herein, the phrase “consisting essentially of” and grammatical equivalents thereof limit the scope of a claim, if any, to the specified materials or steps and those that do not materially affect the basic and novel characteristic or characteristics of the claimed disclosure.

As used herein, the term “proximal” shall refer broadly to the concept of a portion nearest an origin.

As used herein, the term “distal” shall generally refer to the opposite of proximal, and thus to the concept of a portion farther from an origin, or a furthest portion, depending upon the context.

Referring now to the figures, FIG. 1 illustrates the basic timing of single frame capture by a conventional CMOS sensor. Co-pending U.S. patent application Ser. No. 13/952,518 entitled CONTINUOUS VIDEO IN A LIGHT DEFICIENT ENVIRONMENT is hereby incorporated by this reference into this disclosure as if fully set forth herein. It will be appreciated that the x direction corresponds to time and the diagonal lines indicate the activity of an internal pointer that reads out each frame of data, one line at time. The same pointer is responsible for resetting each row of pixels for the next exposure period. The net integration time for each row is equivalent, but they are staggered in time with respect to one another due to the rolling reset and read process. Therefore, for any scenario in which adjacent frames are required to represent different constitutions of light, the only option for having each row be consistent is to pulse the light between the readout cycles. More specifically, the maximum available period corresponds to the sum of the blanking time plus any time during which optical black or optically blind (OB) rows are serviced at the start or end of the frame.

An example illumination sequence is a repeating pattern of four frames (R-G-B-G). As for the Bayer pattern of color filters, this provides for greater luminance detail than chrominance. This approach is accomplished by strobing the scene with either laser or light-emitting diodes at high speed, under the control of the camera system, and by virtue of a specially designed CMOS sensor with high speed readout. The principal benefit is that the sensor can accomplish the same spatial resolution with significantly fewer pixels compared with conventional Bayer or 3-sensor cameras. Therefore, the physical space occupied by the pixel array may be reduced. The actual pulse periods may differ within the repeating pattern, as illustrated in FIG. 2. This is useful for, e.g., apportioning greater time to the components that require the greater light energy or those having the weaker sources. As long as the average captured frame rate is an integer multiple of the requisite final system frame rate, the data may simply be buffered in the signal processing chain as appropriate.

The facility to reduce the CMOS sensor chip-area to the extent allowed by combining all of these methods is particularly attractive for small diameter (˜3-10 mm) endoscopy. In particular, it allows for endoscope designs in which the sensor is located in the space-constrained distal end, thereby greatly reducing the complexity and cost of the optical section, while providing high definition video. A consequence of this approach is that to reconstruct each final, full color image, requires that data be fused from three separate snapshots in time. Any motion within the scene, relative to the optical frame of reference of the endoscope, will generally degrade the perceived resolution, since the edges of objects appear at slightly different locations within each captured component. In this disclosure, a means of diminishing this issue is described which exploits the fact that spatial resolution is much more important for luminance information, than for chrominance.

The basis of the approach is that, instead of firing monochromatic light during each frame, combinations of the three wavelengths are used to provide all of the luminance information within a single image. The chrominance information is derived from separate frames with, e.g., a repeating pattern such as Y-Cb-Y-Cr. While it is possible to provide pure luminance data by a shrewd choice of pulse ratios, the same is not true of chrominance. However, a workaround for this is presented in this disclosure.

In an embodiment, as illustrated in FIG. 3A, an endoscopic system 300a may comprise a pixel array 302a having uniform pixels and the system 300a may be operated to receive Y (luminance pulse) 304a, Cb (ChromaBlue) 306a and Cr (ChromaRed) 308a pulses.

In an embodiment, as illustrated in FIG. 3B, an endoscopic system 300b may comprise a pixel array 302b having uniform pixels and the system may be operated to receive Y (luminance pulse) 304b, λY+Cb (Modulated ChromaBlue) 306b and δY+Cr (Modulated ChromaRed) 308b pulses.

In an embodiment, as illustrated in FIG. 3C, an endoscopic system 300c may comprise a pixel array 302c having checker patterned (alternating) pixels and the system may be operated to receive Y (luminance pulse) 304c, λY+Cb (Modulated ChromaBlue) 306c and δY+Cr (Modulated ChromaRed) 308c pulses. Within the luminance frames, the two exposure periods are applied for the purpose of extending the dynamic range (YL and YS, corresponding to the long and short exposures).

FIG. 4 illustrates the general timing relationship within a 4-frame cycle, between pulsed mixtures of three wavelengths and the readout cycle of a monochrome CMOS sensor.

Essentially there are three monochromatic pulsed light sources under the fast control of the camera and a special design of monochromatic CMOS image sensor which enables high final progressive video rates of 60 Hz or more. Periodic sequences of monochromatic red, green and blue frames are captured, e.g., with an R-G-B-G pattern, and assembled into sRGB images in the image signal processor chain (ISP). The light-pulse and sensor readout timing relationship is shown in FIG. 5. In order to provide pure luminance information in the same frame, all three sources are pulsed in unison with light energies that are modulated according to the color transformation coefficients that convert from RGB space to YCbCr (as per the ITU-R BT.709 HD standard):

[ Y Cb Cr ] = [ R G B ] [ 0.183 0.614 0.062 - 0.101 - 0.339 0.439 0.439 - 0.399 - 0.040 ]

It will be appreciated that other color space conversion standards may be implemented by the disclosure, including but not limited to, ITU-R BT.709 HD standard, ITU-R BT.601 standard, and ITU-R BT.2020 standard.

If white balance is being performed in the illumination domain, then this modulation is imposed in addition to the white balance modulation.

To complete a full color image requires that the two components of chrominance also be provided. However, the same algorithm that was applied for luminance cannot be directly applied for chrominance images since it is signed, as reflected in the fact that some of the RGB coefficients are negative. The solution to this is to add a degree of luminance of sufficient magnitude that all of the final pulse energies become positive. As long as the color fusion process in the ISP is aware of the composition of the chrominance frames, they can be decoded by subtracting the appropriate amount of luminance from a neighboring frame. The pulse energy proportions are given by:
Y=0.183·R+0.614·G+0.062·B
Cb=λ·Y−0.101·R−0.339·G+0.439·B
Cr=δ·Y+0.439·R−0.399·G−0.040·B

where

λ 0.339 0.614 = 0.552 δ 0.399 0.614 = 0.650

The timing for the general case is shown in FIG. 6A. It turns out that if the λ factor is equal to 0.552; both the red and the green components are exactly cancelled, in which case the Cb information can be provided with pure blue light. Similarly, setting δ=0.650 cancels out the blue and green components for Cr which becomes pure red. This particular example is illustrated in FIG. 6B, which also depicts λ and δ as integer multiples of ½8. This is a convenient approximation for the digital frame reconstruction (see later discussion).

Referring now to FIG. 7, there is illustrated a general timing diagram for this process. The exposure periods for the two flavors of pixel are controlled by two internal signals within the image sensor, depicted as TX1 and TX2 in the figure. In fact, it is possible to do this at the same time as extending the dynamic range for the luminance frame, where it is most needed, since the two integration times can be adjusted on a frame by frame basis (see FIGS. 3a-3c). The benefit is that the color motion artifacts are less of an issue if all the data is derived from two frames versus three. There is of course a subsequent loss of spatial resolution for the chrominance data but that is of negligible consequence to the image quality for the reasons discussed earlier.

An inherent property of the monochrome wide dynamic range array is that the pixels that have the long integration time must integrate a superset of the light seen by the short integration time pixels. Co-pending U.S. patent application Ser. No. 13/952,564 entitled WIDE DYNAMIC RANGE USING MONOCHROMATIC SENSOR is hereby incorporated by this reference into this disclosure as if fully set forth herein. For regular wide dynamic range operation in the luminance frames, that is desirable. For the chrominance frames it means that the pulsing must be controlled in conjunction with the exposure periods so as to provide, e.g., λY+Cb from the start of the long exposure and switch to δY+Cr at the point that the short pixels are turned on (both pixel types have their charges transferred at the same time). During color fusion, this would be accounted for. FIG. 8 shows the specific timing diagram for this solution.

A typical ISP involves first taking care of any necessary sensor and optical corrections (such as defective pixel elimination, lens shading etc.), then in turn; white balance, demosaic/color fusion and color correction.

Before finally applying gamma to place the data in the standard sRGB space, there might typically be some operations (e.g., edge enhancement) and/or adjustments (e.g., saturation) performed in an alternative color space such as YCbCr or HSL. FIG. 9 depicts a basic ISP core that would be appropriate for the R-G-B-G pulsing scheme. In this example, the data is converted to YCbCr in order to apply edge enhancement in the luminance plane and conduct filtering of the chrominance, then converted back to linear RGB.

In the case of the Y-Cb-Y-Cr pulsing scheme, the image data is already in the YCbCr space following the color fusion. Therefore, in this case it makes sense to perform luminance and chrominance based operations up front, before converting back to linear RGB to perform the color correction etc. See FIG. 10.

The color fusion process is more straightforward than de-mosaic, which is necessitated by the Bayer pattern, since there is no spatial interpolation. It does require buffering of frames though in order to have all of the necessary information available for each pixel, as indicated in FIG. 11. FIG. 12A shows the general situation of pipelining of data for the Y-Cb-Y-Cr pattern which yields 1 full color image per two raw captured images. This is accomplished by using each chrominance sample twice. In FIG. 12B the specific example of a 120 Hz frame capture rate providing 60 Hz final video is drawn.

The linear Y, Cb and Cr components for each pixel may be computed thus:

Y i = 2 m - 4 + ( x i , n - 1 - K ) { Cb i = 2 m - 1 + ( x i , n - K ) - λ · ( x i , n - 1 - K ) Cr i = 2 m - 1 + ( x i , n - 2 - K ) - δ · ( x i , n - 1 - K ) } when n = Cb frame { Cb i = 2 m - 1 + ( x i , n - 2 - K ) - λ · ( x i , n - 1 - K ) Cr i = 2 m - 1 + ( x i , n - K ) - δ · ( x i , n - 1 - K ) } when n = Cr frame

Where xi,n is the input data for pixel i in frame n, m is the pipeline bit-width of the ISP and K is the ISP black offset level at the input to the color fusion block, (if applicable). Since chrominance is signed it is conventionally centered at 50% of the digital dynamic range (2m-1).

If two exposures are used to provide both chrominance components in the same frame as described earlier, the two flavors of pixel are separated into two buffers. The empty pixels are then filled in using, e.g., linear interpolation. At this point, one buffer contains a full image of δY+Cr data and the other; δY+Cr+λY+Cb. The δY+Cr buffer is subtracted from the second buffer to give λY+Cb. Then the appropriate proportion of luminance data from the Y frames is subtracted out for each.

Implementations of the disclosure may comprise or utilize a special purpose or general-purpose computer including computer hardware, such as, for example, one or more processors and system memory, as discussed in greater detail below. Implementations within the scope of the disclosure may also include physical and other computer-readable media for carrying or storing computer-executable instructions and/or data structures. Such computer-readable media can be any available media that can be accessed by a general purpose or special purpose computer system. Computer-readable media that store computer-executable instructions are computer storage media (devices). Computer-readable media that carry computer-executable instructions are transmission media. Thus, by way of example, and not limitation, implementations of the disclosure can comprise at least two distinctly different kinds of computer-readable media: computer storage media (devices) and transmission media.

Computer storage media (devices) includes RAM, ROM, EEPROM, CD-ROM, solid state drives (“SSDs”) (e.g., based on RAM), Flash memory, phase-change memory (“PCM”), other types of memory, other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store desired program code means in the form of computer-executable instructions or data structures and which can be accessed by a general purpose or special purpose computer.

A “network” is defined as one or more data links that enable the transport of electronic data between computer systems and/or modules and/or other electronic devices. In an implementation, a sensor and camera control unit may be networked in order to communicate with each other, and other components, connected over the network to which they are connected. When information is transferred or provided over a network or another communications connection (either hardwired, wireless, or a combination of hardwired or wireless) to a computer, the computer properly views the connection as a transmission medium. Transmissions media can include a network and/or data links which can be used to carry desired program code means in the form of computer-executable instructions or data structures and which can be accessed by a general purpose or special purpose computer. Combinations of the above should also be included within the scope of computer-readable media.

As can be seen in FIG. 13, various computer system components, program code means in the form of computer-executable instructions or data structures that can be transferred automatically from transmission media to computer storage media (devices) (or vice versa). For example, computer-executable instructions or data structures received over a network or data link can be buffered in RAM within a network interface module (e.g., a “NIC”), and then eventually transferred to computer system RAM and/or to less volatile computer storage media (devices) at a computer system. RAM can also include solid state drives (SSDs or PCIx based real time memory tiered Storage, such as FusionIO). Thus, it should be understood that computer storage media (devices) can be included in computer system components that also (or even primarily) utilize transmission media.

Computer-executable instructions comprise, for example, instructions and data which, when executed at a processor, cause a general purpose computer, special purpose computer, or special purpose processing device to perform a certain function or group of functions. The computer executable instructions may be, for example, binaries, intermediate format instructions such as assembly language, or even source code. Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined herein is not necessarily limited to the described features or acts described above. Rather, the described features and acts are disclosed as examples.

Those skilled in the art will appreciate that the disclosure may be practiced in network computing environments with many types of computer system configurations, including, personal computers, desktop computers, laptop computers, message processors, control units, camera control units, hand-held devices, hand pieces, multi-processor systems, microprocessor-based or programmable consumer electronics, network PCs, minicomputers, mainframe computers, mobile telephones, PDAs, tablets, pagers, routers, switches, various storage devices, and the like. It should be noted that any of the above mentioned computing devices may be provided by or located within a brick and mortar location. The disclosure may also be practiced in distributed system environments where local and remote computer systems, which are linked (either by hardwired data links, wireless data links, or by a combination of hardwired and wireless data links) through a network, both perform tasks. In a distributed system environment, program modules may be located in both local and remote memory storage devices.

Further, where appropriate, functions described herein can be performed in one or more of: hardware, software, firmware, digital components, or analog components. For example, one or more application specific integrated circuits (ASICs) or field programmable gate arrays can be programmed to carry out one or more of the systems and procedures described herein. Certain terms are used throughout the following description to refer to particular system components. As one skilled in the art will appreciate, components may be referred to by different names. This document does not intend to distinguish between components that differ in name, but not function.

FIG. 13 is a block diagram illustrating an example computing device 100. Computing device 100 may be used to perform various procedures, such as those discussed herein. Computing device 100 can function as a server, a client, or any other computing entity. Computing device can perform various monitoring functions as discussed herein, and can execute one or more application programs, such as the application programs described herein. Computing device 100 can be any of a wide variety of computing devices, such as a desktop computer, a notebook computer, a server computer, a handheld computer, camera control unit, tablet computer and the like.

Computing device 100 includes one or more processor(s) 102, one or more memory device(s) 104, one or more interface(s) 106, one or more mass storage device(s) 108, one or more Input/Output (I/O) device(s) 110, and a display device 130 all of which are coupled to a bus 112. Processor(s) 102 include one or more processors or controllers that execute instructions stored in memory device(s) 104 and/or mass storage device(s) 108. Processor(s) 102 may also include various types of computer-readable media, such as cache memory.

Memory device(s) 104 include various computer-readable media, such as volatile memory (e.g., random access memory (RAM) 114) and/or nonvolatile memory (e.g., read-only memory (ROM) 116). Memory device(s) 104 may also include rewritable ROM, such as Flash memory.

Mass storage device(s) 108 include various computer readable media, such as magnetic tapes, magnetic disks, optical disks, solid-state memory (e.g., Flash memory), and so forth. As shown in FIG. 13, a particular mass storage device is a hard disk drive 124. Various drives may also be included in mass storage device(s) 108 to enable reading from and/or writing to the various computer readable media. Mass storage device(s) 108 include removable media 126 and/or non-removable media.

I/O device(s) 110 include various devices that allow data and/or other information to be input to or retrieved from computing device 100. Example I/O device(s) 110 include digital imaging devices, electromagnetic sensors and emitters, cursor control devices, keyboards, keypads, microphones, monitors or other display devices, speakers, printers, network interface cards, modems, lenses, CCDs or other image capture devices, and the like.

Display device 130 includes any type of device capable of displaying information to one or more users of computing device 100. Examples of display device 130 include a monitor, display terminal, video projection device, and the like.

Interface(s) 106 include various interfaces that allow computing device 100 to interact with other systems, devices, or computing environments. Example interface(s) 106 may include any number of different network interfaces 120, such as interfaces to local area networks (LANs), wide area networks (WANs), wireless networks, and the Internet. Other interface(s) include user interface 118 and peripheral device interface 122. The interface(s) 106 may also include one or more user interface elements 118. The interface(s) 106 may also include one or more peripheral interfaces such as interfaces for printers, pointing devices (mice, track pad, etc.), keyboards, and the like.

Bus 112 allows processor(s) 102, memory device(s) 104, interface(s) 106, mass storage device(s) 108, and I/O device(s) 110 to communicate with one another, as well as other devices or components coupled to bus 112. Bus 112 represents one or more of several types of bus structures, such as a system bus, PCI bus, IEEE 1394 bus, USB bus, and so forth.

For purposes of illustration, programs and other executable program components are shown herein as discrete blocks, although it is understood that such programs and components may reside at various times in different storage components of computing device 100, and are executed by processor(s) 102. Alternatively, the systems and procedures described herein can be implemented in hardware, or a combination of hardware, software, and/or firmware. For example, one or more application specific integrated circuits (ASICs) can be programmed to carry out one or more of the systems and procedures described herein.

FIGS. 14A and 14B illustrate a perspective view and a side view, respectively, of an implementation of a monolithic sensor 2900 having a plurality of pixel arrays for producing a three dimensional image in accordance with the teachings and principles of the disclosure. Such an implementation may be desirable for three dimensional image capture, wherein the two pixel arrays 2902 and 2904 may be offset during use. In another implementation, a first pixel array 2902 and a second pixel array 2904 may be dedicated to receiving a predetermined range of wave lengths of electromagnetic radiation, wherein the first pixel array is dedicated to a different range of wave length electromagnetic radiation than the second pixel array.

FIGS. 15A and 15B illustrate a perspective view and a side view, respectively, of an implementation of an imaging sensor 3000 built on a plurality of substrates. As illustrated, a plurality of pixel columns 3004 forming the pixel array are located on the first substrate 3002 and a plurality of circuit columns 3008 are located on a second substrate 3006. Also illustrated in the figure are the electrical connection and communication between one column of pixels to its associated or corresponding column of circuitry. In one implementation, an image sensor, which might otherwise be manufactured with its pixel array and supporting circuitry on a single, monolithic substrate/chip, may have the pixel array separated from all or a majority of the supporting circuitry. The disclosure may use at least two substrates/chips, which will be stacked together using three-dimensional stacking technology. The first 3002 of the two substrates/chips may be processed using an image CMOS process. The first substrate/chip 3002 may be comprised either of a pixel array exclusively or a pixel array surrounded by limited circuitry. The second or subsequent substrate/chip 3006 may be processed using any process, and does not have to be from an image CMOS process. The second substrate/chip 3006 may be, but is not limited to, a highly dense digital process in order to integrate a variety and number of functions in a very limited space or area on the substrate/chip, or a mixed-mode or analog process in order to integrate for example precise analog functions, or a RF process in order to implement wireless capability, or MEMS (Micro-Electro-Mechanical Systems) in order to integrate MEMS devices. The image CMOS substrate/chip 3002 may be stacked with the second or subsequent substrate/chip 3006 using any three-dimensional technique. The second substrate/chip 3006 may support most, or a majority, of the circuitry that would have otherwise been implemented in the first image CMOS chip 3002 (if implemented on a monolithic substrate/chip) as peripheral circuits and therefore have increased the overall system area while keeping the pixel array size constant and optimized to the fullest extent possible. The electrical connection between the two substrates/chips may be done through interconnects 3003 and 3005, which may be wirebonds, bump and/or TSV (Through Silicon Via).

FIGS. 16A and 16B illustrate a perspective view and a side view, respectively, of an implementation of an imaging sensor 3100 having a plurality of pixel arrays for producing a three dimensional image. The three dimensional image sensor may be built on a plurality of substrates and may comprise the plurality of pixel arrays and other associated circuitry, wherein a plurality of pixel columns 3104a forming the first pixel array and a plurality of pixel columns 3104b forming a second pixel array are located on respective substrates 3102a and 3102b, respectively, and a plurality of circuit columns 3108a and 3108b are located on a separate substrate 3106. Also illustrated are the electrical connections and communications between columns of pixels to associated or corresponding column of circuitry.

It will be appreciated that the teachings and principles of the disclosure may be used in a reusable device platform, a limited use device platform, a re-posable use device platform, or a single-use/disposable device platform without departing from the scope of the disclosure. It will be appreciated that in a re-usable device platform an end-user is responsible for cleaning and sterilization of the device. In a limited use device platform the device can be used for some specified amount of times before becoming inoperable. Typical new device is delivered sterile with additional uses requiring the end-user to clean and sterilize before additional uses. In a re-posable use device platform a third-party may reprocess the device (e.g., cleans, packages and sterilizes) a single-use device for additional uses at a lower cost than a new unit. In a single-use/disposable device platform a device is provided sterile to the operating room and used only once before being disposed of.

Additionally, the teachings and principles of the disclosure may include any and all wavelengths of electromagnetic energy, including the visible and non-visible spectrums, such as infrared (IR), ultraviolet (UV), and X-ray.

In an embodiment, a method for digital imaging for use with an endoscope in ambient light deficient environments may comprise: actuating an emitter to emit a plurality of pulses of electromagnetic radiation to cause illumination within the light deficient environment, wherein said pulses comprise a first pulse that is within a first wavelength range that comprises a first portion of electromagnetic spectrum, wherein said pulses comprise a second pulse that is within a second wavelength range that comprises a second portion of electromagnetic spectrum, wherein said pulses comprise a third pulse that is with is a third wavelength range that comprises a third portion of electromagnetic spectrum; pulsing said plurality of pulses at a predetermined interval; sensing reflected electromagnetic radiation from said pulses with a pixel array to create a plurality of image frames, wherein said pixel array is read at an interval that corresponds to the pulse interval of said laser emitter; and creating a stream of images by combining the plurality of image frames to form a video stream. In an embodiment, said first pulse comprises chrominance red. In an embodiment, said second pulse comprises chrominance blue. In an embodiment, said third pulse comprises a luminance pulse. In an embodiment, said luminance pulse is created by pulsing a red pulse and a blue pulse and a green pulse. In such an embodiment, said red pulse is modulated relative to the blue and green pulse such that the red pulse has a positive chrominance value. In an embodiment, said blue pulse is modulated relative to the red and green pulse such that the blue pulse has a positive chrominance value. In an embodiment, said green pulse is modulated relative to the blue and red pulse such that the green pulse has a positive chrominance value. In an embodiment, the method further comprises modulating the plurality of pulses by a value such that the chrominance value of each pulse is positive. In an embodiment, the method further comprises removing pulse modulation values from during image stream construction. In such an embodiment, the process of modulating comprises adding a luminance value to the plurality of pulses. In an embodiment, the luminance value for modulation is an integer that is a multiple of (½)8. In an embodiment, a luminance value for modulation of 0.552 cancels out red chrominance and green chrominance. In an embodiment, a luminance value for modulation of 0.650 cancels out blue chrominance and green chrominance. In an embodiment, the method further comprises reducing noise while creating the stream of image frames. In an embodiment, the method further comprises adjusting white balance while creating the stream of mage frames. In an embodiment, said third pulse is a luminance pulse that is pulses twice as often as the first and second pulses. In an embodiment, said luminance pulse is sensed by long exposure pixel and short exposure pixels within a pixel array. In an embodiment, the method further comprises sensing data generated by a plurality of pixel arrays and combining said data into a three dimensional image stream.

It will be appreciated that various features disclosed herein provide significant advantages and advancements in the art. The following embodiments are exemplary of some of those features.

In the foregoing Detailed Description of the Disclosure, various features of the disclosure are grouped together in a single embodiment for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the disclosure requires more features than are expressly recited in each claim, if any. Rather, inventive aspects lie in less than all features of a single foregoing disclosed embodiment.

It is to be understood that the above-described arrangements are only illustrative of the application of the principles of the disclosure. Numerous modifications and alternative arrangements may be devised by those skilled in the art without departing from the spirit and scope of the disclosure.

Thus, while the disclosure has been shown in the drawings and described above with particularity and detail, it will be apparent to those of ordinary skill in the art that numerous modifications, including, but not limited to, variations in size, materials, shape, form, function and manner of operation, assembly and use may be made without departing from the principles and concepts set forth herein.

Further, where appropriate, functions described herein can be performed in one or more of: hardware, software, firmware, digital components, or analog components. For example, one or more application specific integrated circuits (ASICs) can be programmed to carry out one or more of the systems and procedures described herein. Certain terms are used throughout the following description to refer to particular system components. As one skilled in the art will appreciate, components may be referred to by different names. This document does not intend to distinguish between components that differ in name, but not function.

Claims

1. A digital imaging method for use with an endoscope in ambient light deficient environments comprising:

actuating an emitter to emit a pulse of a wavelength of electromagnetic radiation to cause illumination within the light deficient environment;
wherein said pulse is within a wavelength range that comprises a portion of electromagnetic spectrum;
pulsing said emitter at a predetermined interval;
sensing reflected electromagnetic radiation from said pulse with a pixel array;
wherein said pixel array is actuated at a sensing interval that corresponds to the pulse interval of said emitter; and
synchronizing the emitter and the imaging sensor so as to produce a plurality of image frames wherein the plurality of image frames comprises a luminance frame comprising luminance image data only and a chrominance frame comprising chrominance data only that are combined to form a color image.

2. The method of claim 1, wherein the emitter comprises a plurality of sources that each emits a pulse of a portion of electromagnetic spectrum.

3. The method of claim 2, further comprising actuating the plurality of sources simultaneously.

4. The method of claim 3, further comprising pulsing the plurality of sources at a predetermined interval.

5. The method of claim 1, further comprising adjusting the pulse to provide luminance information during the luminance frame, by matching to color space conversion coefficients.

6. The method of claim 1, further comprising adjusting the pulse to provide chrominance information during the chrominance frame to match to color space conversion coefficients.

7. The method of claim 6, wherein the chrominance information is blue.

8. The method of claim 6, wherein the chrominance information is red.

9. The method of claim 1, further comprising pulsing the emitter to produce a pulsing pattern of luminance, chrominance blue, luminance, chrominance red.

10. The method of claim 1, further comprising pulsing the emitter to produce a pulsing pattern of luminance, chrominance blue combined with chrominance red, luminance, chrominance blue combined with chrominance red.

11. The method of claim 1, wherein the controller is configured to use chrominance frames more than once to reconstruct resultant frames.

12. The method of claim 1, further comprising compensation with a luminance coefficient to chrominance frames by and image signal processor and wherein the luminance coefficient is an integer that is a multiple of (½)n.

13. The method of claim 1, wherein the image sensor comprises uniform pixels configured to be read individually.

14. The method of claim 13, reading data from the image sensor at a plurality of frame durations wherein the plurality of frame durations produce long exposures and short exposures.

15. The method of claim 14, wherein the image sensor is configured to produce a sequence of frames comprising:

a luminance frame of long exposure pixel data and short exposure pixel data,
a red chrominance frame of long exposure pixel data and short exposure pixel data, and
a blue chrominance frame of long exposure pixel data and short exposure pixel data.

16. The method of claim 15, further comprising sensing the luminance wavelength so it is represented in the pattern twice as often as the red and blue chrominance wavelengths.

17. The method of claim 1, wherein a pulse of electromagnetic radiation emitted by the emitter is of a wavelength that is not visible to humans.

18. The method of claim 2, wherein the plurality of electromagnetic wavelengths comprises wavelengths that are visible to humans and that are not visible to humans.

19. The method of claim 1, actuating the emitter so as to emit the plurality of electromagnetic wavelengths at differing magnitudes.

20. The method of claim 19, wherein the differing magnitudes correspond to the imaging sensor's sensitivity to differing wavelengths.

21. The method of claim 1, further comprising blanking said pixel array at a predetermined blanking interval that corresponds to said sensing interval.

Referenced Cited
U.S. Patent Documents
3666885 May 1972 Hemsley et al.
4011403 March 8, 1977 Epstein et al.
4363963 December 14, 1982 Ando
4433675 February 28, 1984 Konoshima
4436095 March 13, 1984 Kruger
4473839 September 25, 1984 Noda
4644403 February 17, 1987 Sakai et al.
4651226 March 17, 1987 Motoori et al.
4692606 September 8, 1987 Sakai et al.
4740837 April 26, 1988 Yanagisawa et al.
4741327 May 3, 1988 Yabe
4742388 May 3, 1988 Cooper et al.
4745471 May 17, 1988 Takamura et al.
4773396 September 27, 1988 Okazaki
4782386 November 1, 1988 Ams et al.
4786965 November 22, 1988 Yabe
4832003 May 23, 1989 Yabe
4845555 July 4, 1989 Yabe et al.
4853772 August 1, 1989 Kikuchi
4853773 August 1, 1989 Hibino et al.
4866526 September 12, 1989 Ams et al.
4884133 November 28, 1989 Kanno et al.
4884134 November 28, 1989 Tsuji et al.
4918521 April 17, 1990 Yabe et al.
4924856 May 15, 1990 Noguchi
4938205 July 3, 1990 Nudelman
4942473 July 17, 1990 Zeevi et al.
4947246 August 7, 1990 Kikuchi
1953539 September 1990 Nakamura et al.
4959710 September 25, 1990 Uehara et al.
5016975 May 21, 1991 Sasaki et al.
5021888 June 4, 1991 Kondou et al.
5047846 September 10, 1991 Uchiyama et al.
RE33854 March 24, 1992 Adair
5103497 April 7, 1992 Hicks
5111804 May 12, 1992 Funakoshi
5133035 July 21, 1992 Hicks
5187572 February 16, 1993 Nakamura et al.
5188094 February 23, 1993 Adair
5196938 March 23, 1993 Blessinger
5200838 April 6, 1993 Nudelman et al.
5220198 June 15, 1993 Tsuji
5228430 July 20, 1993 Sakamoto
5233416 August 3, 1993 Inoue
5241170 August 31, 1993 Field, Jr. et al.
5264925 November 23, 1993 Shipp et al.
5313306 May 17, 1994 Kuban et al.
5325847 July 5, 1994 Matsuno
5402768 April 4, 1995 Adair
5408268 April 18, 1995 Shipp
5411020 May 2, 1995 Ito
5427087 June 27, 1995 Ito et al.
5454366 October 3, 1995 Ito et al.
5494483 February 27, 1996 Adair
5523786 June 4, 1996 Parulski
5550595 August 27, 1996 Hannah
5594497 January 14, 1997 Ahern et al.
5665959 September 9, 1997 Fossum et al.
5704836 January 6, 1998 Norton et al.
5730702 March 24, 1998 Tanaka et al.
5734418 March 31, 1998 Danna
5748234 May 5, 1998 Lippincott
5749830 May 12, 1998 Kaneko et al.
5754313 May 19, 1998 Pelchy et al.
5783909 July 21, 1998 Hochstein
5784099 July 21, 1998 Lippincott
5857963 January 12, 1999 Pelchy et al.
5887049 March 23, 1999 Fossum
5929901 July 27, 1999 Adair et al.
5949483 September 7, 1999 Fossum et al.
5986693 November 16, 1999 Adair et al.
6023315 February 8, 2000 Harrold et al.
6038067 March 14, 2000 George
6043839 March 28, 2000 Adair et al.
6139489 October 31, 2000 Wampler et al.
6142930 November 7, 2000 Ito et al.
6166768 December 26, 2000 Fossum et al.
6184922 February 6, 2001 Saito et al.
6184940 February 6, 2001 Sano
6215517 April 10, 2001 Takahashi et al.
6222175 April 24, 2001 Krymski
6239456 May 29, 2001 Berezin et al.
6272269 August 7, 2001 Naum
6275255 August 14, 2001 Adair et al.
6292220 September 18, 2001 Ogawa et al.
6294775 September 25, 2001 Seibel et al.
6310642 October 30, 2001 Adair et al.
6320331 November 20, 2001 Iida et al.
6331156 December 18, 2001 Haefele et al.
6333205 December 25, 2001 Rhodes
6416463 July 9, 2002 Tsuzuki et al.
6429953 August 6, 2002 Feng
6444970 September 3, 2002 Barbato
6445022 September 3, 2002 Barna et al.
6445139 September 3, 2002 Marshall et al.
6464633 October 15, 2002 Hosoda
6466618 October 15, 2002 Messing et al.
6485414 November 26, 2002 Neuberger
6512280 January 28, 2003 Chen et al.
6627474 September 30, 2003 Barna et al.
6631230 October 7, 2003 Campbell
6659940 December 9, 2003 Adler
6665013 December 16, 2003 Fossum et al.
6677992 January 13, 2004 Matsumoto
6690466 February 10, 2004 Miller et al.
6692431 February 17, 2004 Kazakevich
6707499 March 16, 2004 Kung et al.
6772181 August 3, 2004 Fu et al.
6773392 August 10, 2004 Kikuchi et al.
6791739 September 14, 2004 Ramanujan et al.
6796939 September 28, 2004 Hirata et al.
6799065 September 28, 2004 Niemeyer
6809358 October 26, 2004 Hsieh et al.
6838653 January 4, 2005 Campbell et al.
6841947 January 11, 2005 Berg-johansen
6847399 January 25, 2005 Ang
6856712 February 15, 2005 Fauver et al.
6873363 March 29, 2005 Barna et al.
6879340 April 12, 2005 Chevallier
6899675 May 31, 2005 Cline et al.
6900829 May 31, 2005 Orzawa et al.
6906745 June 14, 2005 Fossum et al.
6921920 July 26, 2005 Kazakevich
6933974 August 23, 2005 Lee
6947090 September 20, 2005 Komoro et al.
6961461 November 1, 2005 MacKinnon et al.
6970195 November 29, 2005 Bidermann et al.
6977733 December 20, 2005 Denk et al.
6982740 January 3, 2006 Adair et al.
6999118 February 14, 2006 Suzuki
7009634 March 7, 2006 Iddan et al.
7009648 March 7, 2006 Lauxtermann et al.
7030904 April 18, 2006 Adair et al.
7037259 May 2, 2006 Hakamata et al.
7068878 June 27, 2006 Crossman-Bosworth et al.
7071979 July 4, 2006 Ohtani et al.
7079178 July 18, 2006 Hynecek
7102682 September 5, 2006 Baer
7105371 September 12, 2006 Fossum et al.
7106377 September 12, 2006 Bean et al.
7119839 October 10, 2006 Mansoorian
7151568 December 19, 2006 Kawachi et al.
7159782 January 9, 2007 Johnston et al.
7184084 February 27, 2007 Glenn
7189226 March 13, 2007 Auld et al.
7189961 March 13, 2007 Johnston et al.
7208983 April 24, 2007 Imaizumi et al.
7252236 August 7, 2007 Johnston et al.
7258663 August 21, 2007 Doguchi et al.
7261687 August 28, 2007 Yang
7280139 October 9, 2007 Pahr et al.
7298938 November 20, 2007 Johnston
7312879 December 25, 2007 Johnston
7319478 January 15, 2008 Dolt et al.
7355155 April 8, 2008 Wang
7356198 April 8, 2008 Chauville et al.
7365768 April 29, 2008 Ono et al.
7369140 May 6, 2008 King et al.
7369176 May 6, 2008 Sonnenschein et al.
7455638 November 25, 2008 Ogawa et al.
7470229 December 30, 2008 Ogawa et al.
7476197 January 13, 2009 Wiklof et al.
7532760 May 12, 2009 Kaplinsky et al.
7534645 May 19, 2009 Choi
7544163 June 9, 2009 MacKinnon et al.
7545434 June 9, 2009 Bean et al.
7564935 July 21, 2009 Suzuki
7567291 July 28, 2009 Bechtel et al.
7573516 August 11, 2009 Krymski et al.
7573519 August 11, 2009 Phan et al.
7583872 September 1, 2009 Seibel et al.
7630008 December 8, 2009 Sarwari
7744528 June 29, 2010 Wallace et al.
7783133 August 24, 2010 Dunki-Jacobs et al.
7784697 August 31, 2010 Johnston et al.
7791009 September 7, 2010 Johnston et al.
7792378 September 7, 2010 Liege et al.
7794394 September 14, 2010 Frangioni
7813538 October 12, 2010 Carroll et al.
7914447 March 29, 2011 Kanai
7916193 March 29, 2011 Fossum
7935050 May 3, 2011 Luanava et al.
7944566 May 17, 2011 Xie
7969097 June 28, 2011 Van De Ven
7995123 August 9, 2011 Lee et al.
8040394 October 18, 2011 Fossum et al.
8054339 November 8, 2011 Fossum et al.
8059174 November 15, 2011 Mann
8100826 January 24, 2012 MacKinnon et al.
8159584 April 17, 2012 Iwabuchi et al.
8193542 June 5, 2012 Machara
8212884 July 3, 2012 Seibel et al.
8231522 July 31, 2012 Endo et al.
8300111 October 30, 2012 Iwane
8372003 February 12, 2013 St. George et al.
8382662 February 26, 2013 Soper et al.
8396535 March 12, 2013 Wang et al.
8423110 April 16, 2013 Barbato et al.
8471938 June 25, 2013 Altice, Jr. et al.
8476575 July 2, 2013 Mokhnatyuk
8482823 July 9, 2013 Cheng
8493474 July 23, 2013 Richardson
8493564 July 23, 2013 Brukilacchio et al.
8523367 September 3, 2013 Ogura
8537203 September 17, 2013 Seibel et al.
8559743 October 15, 2013 Liege et al.
8582011 November 12, 2013 Dosluoglu
8602971 December 10, 2013 Farr
8605177 December 10, 2013 Rossi
8610808 December 17, 2013 Prescher et al.
8614754 December 24, 2013 Fossum
8625016 January 7, 2014 Fossum et al.
8638847 January 28, 2014 Wang
8648287 February 11, 2014 Fossum
8649848 February 11, 2014 Crane et al.
8668339 March 11, 2014 Kabuki et al.
8675125 March 18, 2014 Cossairt et al.
8698887 April 15, 2014 Makino et al.
8836834 September 16, 2014 Hashimoto et al.
8848063 September 30, 2014 Jo
8858425 October 14, 2014 Farr et al.
8885034 November 11, 2014 Adair et al.
9516239 December 6, 2016 Blanquart et al.
20010017649 August 30, 2001 Yaron
20010030744 October 18, 2001 Chang
20010055462 December 27, 2001 Seibel
20020054219 May 9, 2002 Jaspers
20020064341 May 30, 2002 Fauver et al.
20020080248 June 27, 2002 Adair et al.
20020080359 June 27, 2002 Denk et al.
20020140844 October 3, 2002 Kurokawa et al.
20020158986 October 31, 2002 Baer
20030007087 January 9, 2003 Hakamata et al.
20030007686 January 9, 2003 Roever
20030107664 June 12, 2003 Suzuki
20030189663 October 9, 2003 Dolt et al.
20040082833 April 29, 2004 Adler et al.
20040170712 September 2, 2004 Sadek El Mogy
20050009982 January 13, 2005 Inagaki et al.
20050027164 February 3, 2005 Barbato et al.
20050038322 February 17, 2005 Banik
20050113641 May 26, 2005 Bala
20050122530 June 9, 2005 Denk et al.
20050151866 July 14, 2005 Ando et al.
20050200291 September 15, 2005 Naugler, Jr. et al.
20050234302 October 20, 2005 MacKinnon et al.
20050237384 October 27, 2005 Jess et al.
20050261552 November 24, 2005 Mori et al.
20050288546 December 29, 2005 Sonnenschein et al.
20060069314 March 30, 2006 Farr
20060087841 April 27, 2006 Chern et al.
20060197664 September 7, 2006 Zhang et al.
20060202036 September 14, 2006 Wang et al.
20060221250 October 5, 2006 Rossbach et al.
20060226231 October 12, 2006 Johnston et al.
20060264734 November 23, 2006 Kimoto et al.
20060274335 December 7, 2006 Wittenstein
20070010712 January 11, 2007 Negishi
20070041448 February 22, 2007 Miller et al.
20070083085 April 12, 2007 Birnkrant et al.
20070129601 June 7, 2007 Johnston et al.
20070147033 June 28, 2007 Ogawa et al.
20070244364 October 18, 2007 Luanava et al.
20070244365 October 18, 2007 Wiklof
20070276187 November 29, 2007 Wiklof et al.
20070279486 December 6, 2007 Bayer et al.
20070285526 December 13, 2007 Mann et al.
20080045800 February 21, 2008 Farr
20080088719 April 17, 2008 Jacob et al.
20080107333 May 8, 2008 Mazinani et al.
20080136953 June 12, 2008 Barnea et al.
20080158348 July 3, 2008 Karpen et al.
20080165360 July 10, 2008 Johnston
20080192131 August 14, 2008 Kim et al.
20080218598 September 11, 2008 Harada
20080218615 September 11, 2008 Huang et al.
20080218824 September 11, 2008 Johnston et al.
20080249369 October 9, 2008 Seibel et al.
20090012361 January 8, 2009 MacKinnon et al.
20090012368 January 8, 2009 Banik
20090021588 January 22, 2009 Border et al.
20090024000 January 22, 2009 Chen
20090028465 January 29, 2009 Pan
20090074265 March 19, 2009 Huang et al.
20090091645 April 9, 2009 Trimeche et al.
20090137893 May 28, 2009 Seibel et al.
20090147077 June 11, 2009 Tani et al.
20090154886 June 18, 2009 Lewis et al.
20090160976 June 25, 2009 Chen et al.
20090189530 July 30, 2009 Ashdown et al.
20090208143 August 20, 2009 Yoon et al.
20090227847 September 10, 2009 Tepper et al.
20090232213 September 17, 2009 Jia
20090259102 October 15, 2009 Koninckx et al.
20090268063 October 29, 2009 Ellis-Monaghan et al.
20090292168 November 26, 2009 Farr
20090309500 December 17, 2009 Reisch
20090316116 December 24, 2009 Melville et al.
20090322912 December 31, 2009 Blanquart
20100026722 February 4, 2010 Kondo
20100049180 February 25, 2010 Wells et al.
20100069713 March 18, 2010 Endo et al.
20100102199 April 29, 2010 Negley et al.
20100121142 May 13, 2010 OuYang et al.
20100121143 May 13, 2010 Sugimoto et al.
20100123775 May 20, 2010 Shibasaki
20100134608 June 3, 2010 Shibasaki
20100134662 June 3, 2010 Bub
20100135398 June 3, 2010 Wittmann et al.
20100137684 June 3, 2010 Shibasaki et al.
20100149421 June 17, 2010 Lin et al.
20100157037 June 24, 2010 Iketani et al.
20100157039 June 24, 2010 Sugai
20100165087 July 1, 2010 Corso et al.
20100171429 July 8, 2010 Garcia et al.
20100182446 July 22, 2010 Matsubayashi
20100198009 August 5, 2010 Farr et al.
20100198134 August 5, 2010 Eckhouse et al.
20100201797 August 12, 2010 Shizukuishi et al.
20100228089 September 9, 2010 Hoffman et al.
20100261961 October 14, 2010 Scott et al.
20100274082 October 28, 2010 Iguchi et al.
20100274090 October 28, 2010 Ozaki et al.
20100305406 December 2, 2010 Braun et al.
20100309333 December 9, 2010 Smith et al.
20110028790 February 3, 2011 Farr et al.
20110063483 March 17, 2011 Rossi et al.
20110122301 May 26, 2011 Yamura
20110149358 June 23, 2011 Cheng
20110181709 July 28, 2011 Wright et al.
20110181840 July 28, 2011 Cobb
20110184239 July 28, 2011 Wright et al.
20110184243 July 28, 2011 Wright et al.
20110208004 August 25, 2011 Feingold et al.
20110212649 September 1, 2011 Stokoe et al.
20110237882 September 29, 2011 Saito
20110237884 September 29, 2011 Saito
20110245605 October 6, 2011 Jacobsen et al.
20110245616 October 6, 2011 Kobayashi
20110255844 October 20, 2011 Wu et al.
20110274175 November 10, 2011 Sumitomo
20110279679 November 17, 2011 Samuel et al.
20110288374 November 24, 2011 Hadani et al.
20110292258 December 1, 2011 Adler et al.
20110295061 December 1, 2011 Haramaty et al.
20120004508 January 5, 2012 McDowall et al.
20120014563 January 19, 2012 Bendall
20120029279 February 2, 2012 Kucklick
20120033118 February 9, 2012 Lee et al.
20120041267 February 16, 2012 Benning et al.
20120041534 February 16, 2012 Clerc et al.
20120050592 March 1, 2012 Oguma
20120078052 March 29, 2012 Cheng
20120098933 April 26, 2012 Robinson et al.
20120104230 May 3, 2012 Eismann et al.
20120113506 May 10, 2012 Gmitro et al.
20120120282 May 17, 2012 Goris
20120140302 June 7, 2012 Xie et al.
20120155761 June 21, 2012 Matsuoka
20120157774 June 21, 2012 Kaku
20120194686 August 2, 2012 Liu et al.
20120197080 August 2, 2012 Murayama
20120242975 September 27, 2012 Min et al.
20120262621 October 18, 2012 Sato et al.
20120281111 November 8, 2012 Jo et al.
20130018256 January 17, 2013 Kislev et al.
20130035545 February 7, 2013 Ono
20130053642 February 28, 2013 Mizuyoshi et al.
20130070071 March 21, 2013 Peltie et al.
20130126708 May 23, 2013 Blanquart
20130127934 May 23, 2013 Chiang
20130135589 May 30, 2013 Curtis et al.
20130144120 June 6, 2013 Yamazaki
20130155215 June 20, 2013 Shimada et al.
20130155305 June 20, 2013 Shintani
20130158346 June 20, 2013 Soper et al.
20130184524 July 18, 2013 Shimada et al.
20130211217 August 15, 2013 Yamaguchi et al.
20130242069 September 19, 2013 Kobayashi
20130244453 September 19, 2013 Sakamoto
20130274597 October 17, 2013 Byrne et al.
20130296652 November 7, 2013 Farr
20130300837 November 14, 2013 DiCarlo et al.
20130342690 December 26, 2013 Williams et al.
20140005532 January 2, 2014 Choi et al.
20140022365 January 23, 2014 Yoshino
20140031623 January 30, 2014 Kagaya
20140052004 February 20, 2014 D'Alfonso et al.
20140073852 March 13, 2014 Banik et al.
20140073853 March 13, 2014 Swisher et al.
20140078278 March 20, 2014 Lei
20140088363 March 27, 2014 Sakai et al.
20140160318 June 12, 2014 Blanquart et al.
20140163319 June 12, 2014 Blanquart et al.
20140203084 July 24, 2014 Wang
20140267655 September 18, 2014 Richardson et al.
20140267851 September 18, 2014 Rhoads
20140268860 September 18, 2014 Talbert et al.
20140288365 September 25, 2014 Henley et al.
20140300698 October 9, 2014 Wany
20140316199 October 23, 2014 Kucklick
20140354788 December 4, 2014 Yano
20140364689 December 11, 2014 Adair et al.
20150271370 September 24, 2015 Henley et al.
20160183775 June 30, 2016 Blanquart et al.
Foreign Patent Documents
1520696 August 2004 CN
101079966 November 2007 CN
101449575 June 2009 CN
101755448 June 2010 CN
102469932 May 2012 CN
0660616 June 1995 EP
1079255 February 2001 EP
1637062 March 2006 EP
1712177 October 2006 EP
1819151 August 2007 EP
2359739 August 2011 EP
2371268 August 2011 EP
9605693 February 1996 WO
2009120228 October 2009 WO
2012043771 April 2012 WO
Other references
  • Blumenfeld, et al. Three-dimensional image registration of MR proximal femur images for the analysis of trabecular bone parameters. Oct. 2008. [retrieved on Jul. 30, 2014] Retrieved from the internet: <URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2673590/>.
Patent History
Patent number: 9762879
Type: Grant
Filed: Dec 5, 2016
Date of Patent: Sep 12, 2017
Patent Publication Number: 20170085853
Assignee: DePuy Synthes Products, Inc. (Raynham, MA)
Inventors: Laurent Blanquart (Westlake Village, CA), John Richardson (Westlake Village, CA)
Primary Examiner: Nathnael Aynalem
Application Number: 15/369,170
Classifications
Current U.S. Class: Illumination (348/68)
International Classification: H04N 9/77 (20060101); A61B 1/00 (20060101); A61B 1/045 (20060101); A61B 1/06 (20060101); H04N 5/235 (20060101); H04N 9/04 (20060101); A61B 1/05 (20060101); H04N 5/369 (20110101); H04N 1/60 (20060101); H04N 5/04 (20060101); H04N 5/378 (20110101); H04N 9/07 (20060101); H04N 9/64 (20060101); H04N 5/225 (20060101); H04N 5/374 (20110101);